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How we used generative AI to run a generative AI hackathon

Collibra

As the data intelligence company, we’ve long anticipated broad adoption of AI, and Collibrians with data science and machine learning expertise have been working diligently on ways to apply AI/ML. How will you identify and communicate to winners? How will you market the hackathon internally and externally? Jessica shared.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Garbage in, garbage out.

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10 everyday machine learning use cases

IBM Big Data Hub

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO).

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Top Unified Endpoint Management (UEM) Solutions

eSecurity Planet

Unification has been a trend in IT for a long time, whether it’s communications, storage, data management or other technologies, and the trend hasn’t escaped cybersecurity either, as products converge into more comprehensive platforms like XDR or SASE. Key Differentiators. Key Differentiators.

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